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Read and Process CRU TS Precipitation Data

Source: R/data_cru.R, R/data_crupre.R
read_cru_pre.Rd

This function reads CRU TS (Climate Research Unit Time Series) v4.09 precipitation data files from local storage, unzips them if necessary, loads them as raster stacks (SpatRaster objects), and filters the data to match PRIO-GRID temporal coverage. The function also corrects broken or missing time stamps by reconstructing a monthly sequence starting from January 1901, ensuring consistent temporal alignment with PRIO-GRID.

This function reads CRU TS (Climate Research Unit Time Series) v4.09 precipitation data files from local storage, unzips them if necessary, loads them as raster stacks (SpatRaster objects), and filters the data to match PRIO-GRID temporal coverage. The function also corrects broken or missing time stamps by reconstructing a monthly sequence starting from January 1901, ensuring consistent temporal alignment with PRIO-GRID.

Usage

read_cru_pre()

read_cru_pre()

Value

A SpatRaster object (from the terra package) with the following characteristics:

  • Spatial Resolution: 0.5° x 0.5° global grid

  • Spatial Extent: Global coverage (-180° to 180° longitude, -90° to 90° latitude)

  • Coordinate System: WGS84 geographic (lon/lat)

  • Temporal Coverage: Filtered to match PRIO-GRID date intervals

  • Layer Names: Set to corresponding timestamps

  • Units: Millimeters of precipitation

A SpatRaster object (from the terra package) with the following characteristics:

  • Spatial Resolution: 0.5° x 0.5° global grid

  • Spatial Extent: Global coverage (-180° to 180° longitude, -90° to 90° latitude)

  • Coordinate System: WGS84 geographic (lon/lat)

  • Temporal Coverage: Filtered to match PRIO-GRID date intervals

  • Layer Names: Set to corresponding timestamps

  • Units: Millimeters of precipitation

References

Harris I, Osborn TJ, Jones P, Lister D (2020). “Version 4 of the CRU TS Monthly High-Resolution Gridded Multivariate Climate Dataset.” Scientific Data, 7(1), 109. ISSN 2052-4463, doi:10.1038/s41597-020-0453-3 .

Harris I, Osborn TJ, Jones P, Lister D (2020). “Version 4 of the CRU TS Monthly High-Resolution Gridded Multivariate Climate Dataset.” Scientific Data, 7(1), 109. ISSN 2052-4463, doi:10.1038/s41597-020-0453-3 .

See also

get_pgfile for file retrieval functionality, pg_date_intervals for PRIO-GRID temporal boundaries

get_pgfile for file retrieval functionality, pg_date_intervals for PRIO-GRID temporal boundaries

Examples

if (FALSE) { # \dontrun{
# Load monthly precipitation data
pre_data <- read_cru_pre()
} # }

if (FALSE) { # \dontrun{
# Load monthly precipitation data
pre_data <- read_cru_pre()
} # }